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or co-author) is strongly preferred. Epidemiological & Statistical Analysis: Proficiency or advanced training in applying complex epidemiological methods, linear/non-linear modeling, or multivariate
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learning, and optimization; advanced data analysis including multivariate regression, clustering, topic modeling, and time series analysis; data wrangling and preprocessing; visual analytics; programming
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exchange across psychology, neuroscience, behavioural biology and related disciplines. Further information about the Brain and Language Lab is available at: https://www.brainandlanguagelab.org Your future
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longitudinal organisational research. Experience with surveys, multivariate analysis, person-centred approaches or data visualisation would be advantageous. Ability to translate employee-level evidence into
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University of California, Los Angeles | Los Angeles, California | United States | about 23 hours ago
statistics, including multivariate statistical analysis and appropriate validation of quantitative models. The candidate must have experience working in Linux or Unix-based computational environments
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scientific exchange across psychology, neuroscience, behavioural biology and related disciplines. Further information about the Brain and Language Lab is available at: https://www.brainandlanguagelab.org Your
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Communication and Culture invites applications for this four-year doctoral scholarship in the EMANAIRE project “Futureproofing Employee Careers in the Age of Generative AI”. About EMANAIRE EMANAIRE: https
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trends, and channel performance to identify areas for improvement. Conduct research and root-cause analysis when campaign performance does not meet expectations. Lead A/B and multivariate testing
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multivariate models are preferred. Experience managing and analyzing large data sets. Knowledge, Skills, and Abilities Strong analytical skills and strong proficiency with R software and its application to
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BI | 22 days ago
longitudinal organisational research. Experience with surveys, multivariate analysis, person-centred approaches or data visualisation would be advantageous. Ability to translate employee-level evidence into